معرفی
Marc BOCQUET is a Professor and Senior Researcher at CEREA, a joint laboratory between École des Ponts ParisTech and Électricité de France (EdF) R&D. He serves as Deputy Director of CEREA and holds academic affiliations with Sorbonne Université, École Polytechnique, and other Paris-area institutions. His research focuses on data assimilation, inverse problems, and machine learning applications in geosciences, environmental statistics, and climate modeling. He has authored 110+ papers and co-edited books, and is a Fellow of the European Centre for Medium-Range Weather Forecasts.
**Research Interests:**
- Development of mathematical methods for estimating atmospheric/oceanic states and improving geoscience models using observational data.
- Applications to atmospheric chemical transport models and dispersion modeling in urban environments.
- Integration of machine learning (e.g., deep learning, generative AI) with data assimilation for climate projections and emissions quantification.
**Key Contributions:**
- Pioneered hybrid models combining machine learning and classical data assimilation for weather forecasting (e.g., IFS system).
- Advanced generative AI-based emulators for sea ice dynamics and wildfire spread.
- Developed neural network approaches for CO₂ plume inversion using satellite imagery (e.g., OCO-3 SAM data).
**Awards:**
- Fellow of the European Centre for Medium-Range Weather Forecasts (ECMWF).
**Labs/Teams:** Active in CEREA and collaborates with institutions like École Normale Supérieure and Université de Toulouse through projects like DRUIDS (PEPR Maths-Vives).
